Random variables

Part of the Springer Undergraduate Texts in Mathematics and Technology book series (SUMAT)


The elements of a sample space may take diverse forms: real numbers, but also brands of components, colors, “good,” or “defective,” and so on. Because it is easier to work with real numbers, in this chapter we transform all the elementary outcomes into numerical values, by means of random variables. We consider the most important particular cases and define the main functions that characterize random variables.


Density Function Poisson Distribution Exponential Distribution Probability Function Poisson Process 
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Copyright information

© Springer-Verlag New York 2008

Authors and Affiliations

  1. 1.Département de Mathématiques et de génie industrielÉcole Polytechnique de Montréal, QuébecMontréalCanada

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